ABSTRACT
Background: Despite the global surge in the Corona virus disease (COVID-19) pandemic, people's efforts to combat the pandemic have been insufficient. The world has experienced a number of challenges in terms of COVID-19 vaccine acceptance. Therefore, understanding the community's willingness to receive the vaccine will aid in the creation and implementation of effective COVID-19 immunization. As a result, the aim of this study was to assess the magnitude of COVID-19 vaccine acceptance and associated factors among adults in Addis Ababa, Ethiopia. Methods: A community-based cross-sectional study with 419 household heads was undertaken in Addis Ababa, Ethiopia. To identify factors associated with the outcome and independent variables, bi-variable and multi-variable logistic regression analyses were used. A 95% confidence interval and a p-value of less than 0.05 were deemed sufficient to declare a significant association. Results: The level of COVID-19 vaccine acceptance was 46.3 % (95 % CI: 43.87-48.73). Moreover, age groups above 58 years (AOR = 0.38, 95: CI: 0.17, 0.84), chronic disease (AOR: 2.09, 95 % CI: 1.28-3.42), a positive attitude (AOR: 1.64, 95 % CI: 1.29-2.04), being a Muslim (AOR: 0.36, 95 % CI: 0.19-0.71) and social support (AOR: 1.7, 95 % CI: 1.04-2.79) were all significantly related to COVID-19 vaccine acceptance. Conclusion: The findings of this study revealed a lower rate of COVID-19 vaccination acceptance. Age, chronic disease, attitude, and social support were significant predictors of COVID-19 vaccine acceptance. Therefore, emphasis should be given for community mobilization, especially for the elderly, those with limited social engagement, and those who have a negative attitude toward COVID-19 vaccination.
ABSTRACT
Introduction: Addressing neonatal mortality is an important priority for improving the health and well-being of newborns. Almost two-thirds of infant deaths occur in the first month of life; among these, more than two-thirds die in their first week. Therefore, the aim of this study was to assess the mortality rate and predictors of mortality among neonates admitted to the neonatal intensive care unit (NICU) at Tikur Anbessa Specialized Hospital in Addis Ababa, Ethiopia, in 2023. Methods: An institutional-based retrospective follow-up study was conducted using 459 neonates who were admitted to the NICU at Tikur Anbessa Specialized Hospital from January 2020 to December 2022. The data were extracted from randomly selected charts using a pretested data extraction checklist. The Nelson Alan curve with log-rank test was used to compare the presence of differences in the mortality rate of different groups over different categorical variables. The cox proportional hazards analysis model was used to identify predictors of neonatal death. The presence and absence of statistical significance was considered at a p-value of less than 0.05 and the strength of association was measured using AHR. Results: The neonatal mortality rate was 3.1 (95% CI: 1.3-4.9) per 1,000 neonate-days. Low birth weight (AHR = 1.44: 95% CI: 1.06-3.13), exclusive breast-feeding (AHR = 0.74: 95% CI: 0.35-0.95), and time of exclusive breast-feeding (AHR = 0.92: 95% CI: 0.49-0.99) were the identified predictors of newborn mortality. Conclusion: The neonatal mortality rate was high. Low birth weight of the neonate, exclusive breast-feeding initiation, and time of exclusive breast-feeding were independent predictors of neonatal death. Therefore, empowering mothers to exclusively breastfeed their children, which is a cost-effective, safe, and realistic option, can significantly minimize infant mortality.
ABSTRACT
Introduction: Postpartum hemorrhage (PPH) is responsible for half of all maternal deaths during childbirth. Despite being preventable and curable, PPH remains the leading cause of maternal death in Ethiopia. Therefore, the aim of this study was to identify the determinants of PPH among women delivered at public hospitals in Addis Ababa, Ethiopia, in 2022. Methods: A facility-based, unmatched case control study with 378 study participants was carried out in selected public hospitals in Addis Ababa, Ethiopia. Women who gave birth and developed PPH were considered cases, while women who gave birth in public hospitals in Addis Ababa and did not develop PPH were controls. Binary and multivariable logistic regression analyses were used to identify independent predictors of PPH. Variables was considered statistically significant in the final model if their p-value was less than 0.05. Results: The result of this study identified that antenatal care follow-up (AOR: 2.58; 95% CI: 1.12, 5.96), history of cesarean delivery (AOR: 3.47; 95% CI: 1.40, 8.58), prolonged labor (AOR: 5.14; CI: 2.07, 12.75), and genital trauma apart from episiotomy (AOR: 4.39; CI: 1.51, 12.81) were determinants of PPH. Conclusion: According to the finding of this study duration of labor, history of cesarean section, antenatal care follow-up, and genital trauma other than episiotomy were independent determinants of PPH. Therefore, it is crucial to screen and closely monitor high-risk mothers during antepartum care visit, including those who have a history of cesarean delivery.
ABSTRACT
Background: Tuberculosis continues to be a major health concern around the world. It kills an estimated 1.6 million people each year. The World Health Organization (WHO) removed Ethiopia from its list of thirty countries having a high prevalence of MDR/RR-TB in 2021. As a result, the aim of this study was to assess the current context of survival status and risk factors of multidrug-resistant tuberculosis patients in Addis Ababa, Ethiopia, in 2022. Methods: An institutional-based retrospective cohort study with 245 patients was undertaken using multidrug-resistant tuberculosis patients who were recruited from January 1st, 2018 to December 30th, 2021, in St. Peter's specialized hospital. To find independent predictors of survival status, Cox regression analysis was used. An adjusted hazard ratio with a 95% confidence interval and a p-value of < 0.05 was used to establish association and statistical significance. Results: The result of the study revealed that the incidence of mortality in this study was 13.1% (95% CI: 10.3-16.5). Moreover, being male (AOR = 3.7: 95% CI = 1.2, 11.4), old age (AOR = 14: 95% CI = 3.0, 60.4), site of TB (AOR = 0.2: 95% CI = 0.03, 0.6), and presence of comorbidity (AOR = 9.2: 95% CI = 2.4, 35.3), were independent predictors of time to death. Conclusion: Generally, the death rate among research participants was high. Moreover, male gender, old age, site of tuberculosis, and presence of other comorbidity were predictors of mortality among MDR-TB patients.
ABSTRACT
The COVID-19 pandemic continues to grow around the world and has caused enormous mortality and morbidity. The severity and mortality of coronavirus disease are associated with various comorbidities. The infection fatality rate was reported to be inconsistent with different studies. Therefore, the aim of this study was to assess the magnitude and factors associated with mortality among patients admitted to Eka Kotebe General Hospital, Addis Ababa, Ethiopia. An institutional-based cross-sectional study was conducted at Eka Kotebe General Hospital among patients who were admitted for COVID-19 from January 15, 2021, to June 30, 2021. A total of 393 records of patients were selected by simple random sampling. Data was extracted from compiled data forms where available information was already tabulated. Data was entered and analyzed using SPSS version 25. The determinant factors associated with mortality among COVID-19 patients were identified using bivariate and multivariable logistic regression analysis. A statistical association was declared with multivariable logistic regression using a 95% confidence interval and a P-value of less than 0.05. The proportion of COVID-19 mortality among patients admitted to Eka Kotebe General Hospital was 8.1% (95% CI (5.4-10.8%)). Age >50 years [AOR = 7.91; 95% CI (2.34-25.70)], being male [AOR = 2.09; 95% CI (1.20-3.65)], having diabetes mellitus [AOR = 2.64; 95% CI (1.30-5.35)], having hypertension [AOR = 2.67; 95% CI (1.22-5.88)] and having chronic kidney disease [AOR = 12.04; 95% CI (4.03-14.22)] were determinant factors of COVID-19 mortality. The current study findings revealed that COVID-19 mortality was high among hospitalized COVID-19 patients. Furthermore, age, gender, diabetes mellitus, hypertension, and chronic kidney disease were discovered to be independent predictors of COVID-19 mortality. Therefore, older COVID-19 patients and those with established comorbidities such as hypertension, diabetes, and end-stage renal disease should receive comprehensive preventative efforts, including vaccination.